Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:29:57.679714
Analysis finished2020-08-25 00:31:07.780909
Duration1 minute and 10.1 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz14 has unique values Unique
oz40 has unique values Unique
oz31 has unique values Unique
oz46 has unique values Unique
oz18 has unique values Unique
oz49 has unique values Unique
oz27 has unique values Unique
oz26 has unique values Unique
oz33 has unique values Unique
oz20 has unique values Unique
oz13 has unique values Unique
oz5 has unique values Unique
oz38 has unique values Unique
oz9 has unique values Unique
oz4 has unique values Unique
oz7 has unique values Unique
oz42 has unique values Unique
oz47 has unique values Unique
oz48 has unique values Unique
target has unique values Unique

Variables

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1733285393565894e-11
Minimum-1.775745868682861
Maximum1.7087688446044922
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:07.833240image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.775745869
5-th percentile-1.578656346
Q1-0.8779666126
median-0.0005840431731
Q30.8792567551
95-th percentile1.530981898
Maximum1.708768845
Range3.484514713
Interquartile range (IQR)1.757223368

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)4.601237148e+10
Kurtosis-1.173308885
Mean2.173328539e-11
Median Absolute Deviation (MAD)0.8784238327
Skewness-0.01200976393
Sum2.173328539e-08
Variance1.000000002
2020-08-25T00:31:07.938321image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.832029819510.1%
 
1.52861845510.1%
 
0.093911662710.1%
 
1.33725404710.1%
 
-1.57471334910.1%
 
1.09505832210.1%
 
-1.40364885310.1%
 
0.991098940410.1%
 
-1.2083307510.1%
 
-0.879694759810.1%
 
1.10843074310.1%
 
1.66535460910.1%
 
-0.177467033310.1%
 
-0.152015864810.1%
 
-0.32356232410.1%
 
0.518214523810.1%
 
1.35666561110.1%
 
1.36914515510.1%
 
1.27654945910.1%
 
0.744767606310.1%
 
-1.06697416310.1%
 
-0.931021392310.1%
 
-0.378793120410.1%
 
1.32154250110.1%
 
-1.56763184110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77574586910.1%
 
-1.76805555810.1%
 
-1.76773285910.1%
 
-1.76515483910.1%
 
-1.76510918110.1%
 
-1.76063942910.1%
 
-1.75991284810.1%
 
-1.75919306310.1%
 
-1.75637483610.1%
 
-1.75145137310.1%
 
ValueCountFrequency (%) 
1.70876884510.1%
 
1.70455193510.1%
 
1.70114898710.1%
 
1.6998112210.1%
 
1.69590234810.1%
 
1.68964219110.1%
 
1.68606686610.1%
 
1.68478357810.1%
 
1.66869664210.1%
 
1.66590654910.1%
 

oz40
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.734595909714699e-10
Minimum-1.720184087753296
Maximum1.7495721578598022
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:08.054555image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.720184088
5-th percentile-1.547424299
Q1-0.8399570286
median-0.007127977908
Q30.8827029467
95-th percentile1.603715575
Maximum1.749572158
Range3.469756246
Interquartile range (IQR)1.722659975

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)3656847418
Kurtosis-1.170882431
Mean2.73459591e-10
Median Absolute Deviation (MAD)0.8618850335
Skewness0.02154790597
Sum2.73459591e-07
Variance0.9999999986
2020-08-25T00:31:08.166331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.623046159710.1%
 
0.791648924410.1%
 
-1.2356866610.1%
 
0.64909225710.1%
 
-1.63931679710.1%
 
-0.672030091310.1%
 
0.570082783710.1%
 
1.58624851710.1%
 
0.880321562310.1%
 
-1.32941603710.1%
 
0.625642895710.1%
 
0.276268869610.1%
 
1.41473925110.1%
 
-0.604154884810.1%
 
1.64931118510.1%
 
-0.131994232510.1%
 
1.0910272610.1%
 
1.67703950410.1%
 
-1.14969408510.1%
 
0.731091797410.1%
 
-0.475277304610.1%
 
-0.994757890710.1%
 
0.0699010267910.1%
 
-1.33716440210.1%
 
-1.56762969510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72018408810.1%
 
-1.71879613410.1%
 
-1.71187007410.1%
 
-1.71156215710.1%
 
-1.71116149410.1%
 
-1.71080255510.1%
 
-1.70763027710.1%
 
-1.70696425410.1%
 
-1.70570111310.1%
 
-1.70525598510.1%
 
ValueCountFrequency (%) 
1.74957215810.1%
 
1.74425876110.1%
 
1.73576974910.1%
 
1.73483085610.1%
 
1.72383034210.1%
 
1.72066259410.1%
 
1.71830749510.1%
 
1.7138291610.1%
 
1.71301746410.1%
 
1.7093861110.1%
 

oz31
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.492474883794785e-10
Minimum-1.7233747243881226
Maximum1.7822283506393433
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:08.458217image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.723374724
5-th percentile-1.519103223
Q1-0.8816354275
median0.01046565594
Q30.8475074321
95-th percentile1.593314505
Maximum1.782228351
Range3.505603075
Interquartile range (IQR)1.72914286

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)-1820672865
Kurtosis-1.177587866
Mean-5.492474884e-10
Median Absolute Deviation (MAD)0.8670166433
Skewness0.05304744988
Sum-5.492474884e-07
Variance0.9999999963
2020-08-25T00:31:08.567991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.515623867510.1%
 
1.0643680110.1%
 
0.422220766510.1%
 
1.25136852310.1%
 
-1.25917255910.1%
 
0.90189659610.1%
 
-0.0922008678310.1%
 
1.74474680410.1%
 
-0.202316522610.1%
 
-1.27540564510.1%
 
0.188309565210.1%
 
0.295254975610.1%
 
0.280606716910.1%
 
0.410481840410.1%
 
-1.21616840410.1%
 
0.194989994210.1%
 
1.76690435410.1%
 
0.588550329210.1%
 
-0.456172227910.1%
 
-0.873702108910.1%
 
1.61978554710.1%
 
0.219889506710.1%
 
-1.29853403610.1%
 
-1.44401204610.1%
 
-0.0873651355510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72337472410.1%
 
-1.7177052510.1%
 
-1.71352827510.1%
 
-1.71183764910.1%
 
-1.71056270610.1%
 
-1.70737838710.1%
 
-1.7055342210.1%
 
-1.70210492610.1%
 
-1.69097101710.1%
 
-1.69082534310.1%
 
ValueCountFrequency (%) 
1.78222835110.1%
 
1.78080284610.1%
 
1.77750706710.1%
 
1.774866710.1%
 
1.77022600210.1%
 
1.76690435410.1%
 
1.76561260210.1%
 
1.76088595410.1%
 
1.75422477710.1%
 
1.75085270410.1%
 

oz46
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.746857590973377e-10
Minimum-1.719036340713501
Maximum1.7504061460494995
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:08.686378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.719036341
5-th percentile-1.577617711
Q1-0.8408631235
median0.02090820856
Q30.8599101007
95-th percentile1.532028133
Maximum1.750406146
Range3.469442487
Interquartile range (IQR)1.700773224

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1290845983
Kurtosis-1.170309012
Mean7.746857591e-10
Median Absolute Deviation (MAD)0.8534471691
Skewness-0.03637185766
Sum7.746857591e-07
Variance1.000000001
2020-08-25T00:31:08.791247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.30632388610.1%
 
-1.6887060410.1%
 
0.172035470610.1%
 
-0.487563729310.1%
 
-1.54033875510.1%
 
-0.0801576226910.1%
 
1.31835436810.1%
 
-0.811171889310.1%
 
-1.49875354810.1%
 
0.00903771817710.1%
 
-1.43483459910.1%
 
-0.865842282810.1%
 
-1.03637111210.1%
 
0.442685902110.1%
 
0.0515434294910.1%
 
-0.785758435710.1%
 
1.7254122510.1%
 
1.44651031510.1%
 
0.969347834610.1%
 
0.0840202495510.1%
 
0.168605923710.1%
 
-1.32655060310.1%
 
0.39385071410.1%
 
-0.711527705210.1%
 
-1.19258105810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71903634110.1%
 
-1.709996710.1%
 
-1.70792114710.1%
 
-1.70512354410.1%
 
-1.6987694510.1%
 
-1.69582152410.1%
 
-1.69427537910.1%
 
-1.69200754210.1%
 
-1.69053375710.1%
 
-1.6887060410.1%
 
ValueCountFrequency (%) 
1.75040614610.1%
 
1.7501778610.1%
 
1.74265515810.1%
 
1.73999893710.1%
 
1.72544205210.1%
 
1.7254122510.1%
 
1.72231125810.1%
 
1.71777355710.1%
 
1.71073913610.1%
 
1.70964455610.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0582366384333e-10
Minimum-1.7578355073928833
Maximum1.6903244256973269
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:08.906435image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.757835507
5-th percentile-1.573707849
Q1-0.862951532
median0.01578186871
Q30.8238933831
95-th percentile1.543941975
Maximum1.690324426
Range3.448159933
Interquartile range (IQR)1.686844915

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)1976973542
Kurtosis-1.204476352
Mean5.058236638e-10
Median Absolute Deviation (MAD)0.8383485973
Skewness-0.04063635083
Sum5.058236638e-07
Variance1.000000001
2020-08-25T00:31:09.009332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.47264862110.1%
 
-1.63028347510.1%
 
0.996755480810.1%
 
-0.0558669231810.1%
 
-0.394860863710.1%
 
1.57944047510.1%
 
-0.4992507110.1%
 
-0.747637569910.1%
 
-0.933800339710.1%
 
0.24749991310.1%
 
0.466143757110.1%
 
-0.0762524828310.1%
 
-1.00909423810.1%
 
-1.59502911610.1%
 
-1.65362262710.1%
 
-0.129065483810.1%
 
-0.637324929210.1%
 
-0.79164987810.1%
 
0.80486464510.1%
 
0.684226334110.1%
 
0.0968397334210.1%
 
-0.537736594710.1%
 
-0.012308441110.1%
 
-0.153475657110.1%
 
-0.212556377110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75783550710.1%
 
-1.75336742410.1%
 
-1.74742984810.1%
 
-1.74649941910.1%
 
-1.73480665710.1%
 
-1.73026549810.1%
 
-1.72681164710.1%
 
-1.7130949510.1%
 
-1.71163940410.1%
 
-1.71023559610.1%
 
ValueCountFrequency (%) 
1.69032442610.1%
 
1.68879091710.1%
 
1.68410265410.1%
 
1.68297612710.1%
 
1.67849624210.1%
 
1.67627489610.1%
 
1.67386484110.1%
 
1.66906607210.1%
 
1.66793847110.1%
 
1.66599059110.1%
 

oz49
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8905848264694215e-10
Minimum-1.7138030529022217
Maximum1.6898205280303955
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:09.124741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.713803053
5-th percentile-1.542716467
Q1-0.8903767467
median0.02955871355
Q30.8943435848
95-th percentile1.519566506
Maximum1.689820528
Range3.403623581
Interquartile range (IQR)1.784720331

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)5289368593
Kurtosis-1.241344858
Mean1.890584826e-10
Median Absolute Deviation (MAD)0.8845121264
Skewness-0.03228584907
Sum1.890584826e-07
Variance1.000000001
2020-08-25T00:31:09.229733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.26364445710.1%
 
-0.0935849100410.1%
 
-0.328455895210.1%
 
1.63930416110.1%
 
-1.22725951710.1%
 
-0.366587370610.1%
 
0.0602672435310.1%
 
1.30338704610.1%
 
-1.40754735510.1%
 
1.46613693210.1%
 
1.22394585610.1%
 
-0.948440134510.1%
 
-0.58071720610.1%
 
1.56377613510.1%
 
1.66532921810.1%
 
1.61453974210.1%
 
1.28244876910.1%
 
-1.36844289310.1%
 
-1.06765437110.1%
 
-0.608044683910.1%
 
-1.07546174510.1%
 
0.262686431410.1%
 
0.198396533710.1%
 
-0.130597934110.1%
 
-1.44263684710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71380305310.1%
 
-1.71296262710.1%
 
-1.71138894610.1%
 
-1.71089947210.1%
 
-1.70377910110.1%
 
-1.70195555710.1%
 
-1.69907331510.1%
 
-1.68426215610.1%
 
-1.67990100410.1%
 
-1.67942678910.1%
 
ValueCountFrequency (%) 
1.68982052810.1%
 
1.68507742910.1%
 
1.68353974810.1%
 
1.68281137910.1%
 
1.67444980110.1%
 
1.6712734710.1%
 
1.66741919510.1%
 
1.66532921810.1%
 
1.66394305210.1%
 
1.66199266910.1%
 

oz27
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7212587408721448e-09
Minimum-1.6831361055374146
Maximum1.7215863466262815
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:09.349678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.683136106
5-th percentile-1.546979642
Q1-0.865955919
median-0.00873273937
Q30.8852075636
95-th percentile1.577219594
Maximum1.721586347
Range3.404722452
Interquartile range (IQR)1.751163483

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-580970179.9
Kurtosis-1.195046488
Mean-1.721258741e-09
Median Absolute Deviation (MAD)0.8783515394
Skewness0.01318566938
Sum-1.721258741e-06
Variance1.000000001
2020-08-25T00:31:09.455327image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.473632544310.1%
 
-0.181964874310.1%
 
1.69786214810.1%
 
-1.34119701410.1%
 
-0.600757002810.1%
 
-0.996765494310.1%
 
1.54040372410.1%
 
-1.07945728310.1%
 
-0.805353045510.1%
 
-0.971992313910.1%
 
-0.512381970910.1%
 
0.00876889191610.1%
 
0.137372121210.1%
 
-1.46225643210.1%
 
1.36069178610.1%
 
1.54428207910.1%
 
0.871721088910.1%
 
-0.4817728410.1%
 
-0.678389251210.1%
 
1.16536223910.1%
 
1.17707645910.1%
 
0.925440490210.1%
 
1.26300871410.1%
 
0.0511876344710.1%
 
-1.48565971910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68313610610.1%
 
-1.68151617110.1%
 
-1.67934095910.1%
 
-1.67900335810.1%
 
-1.67722427810.1%
 
-1.67451345910.1%
 
-1.6717815410.1%
 
-1.67102742210.1%
 
-1.670828710.1%
 
-1.66518795510.1%
 
ValueCountFrequency (%) 
1.72158634710.1%
 
1.70788931810.1%
 
1.70774602910.1%
 
1.70773804210.1%
 
1.70572221310.1%
 
1.70134055610.1%
 
1.6985448610.1%
 
1.69786214810.1%
 
1.69033074410.1%
 
1.69030320610.1%
 

oz26
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.105960759697268e-10
Minimum-1.753479242324829
Maximum1.74717116355896
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:09.572632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.753479242
5-th percentile-1.556113607
Q1-0.8616003096
median0.0104501457
Q30.8369967192
95-th percentile1.577065969
Maximum1.747171164
Range3.500650406
Interquartile range (IQR)1.698597029

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)3219615691
Kurtosis-1.167993683
Mean3.10596076e-10
Median Absolute Deviation (MAD)0.8518906832
Skewness-0.009008895901
Sum3.10596076e-07
Variance0.9999999993
2020-08-25T00:31:09.676864image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.01363885410.1%
 
-1.26345682110.1%
 
-1.33333134710.1%
 
-1.72917115710.1%
 
-0.674475669910.1%
 
1.57683038710.1%
 
1.34301257110.1%
 
-0.354514479610.1%
 
-0.619935512510.1%
 
-1.20050299210.1%
 
-1.32940304310.1%
 
-1.66533935110.1%
 
0.748684108310.1%
 
1.50517785510.1%
 
1.58330142510.1%
 
-0.647114932510.1%
 
0.789659738510.1%
 
1.37625849210.1%
 
1.08328604710.1%
 
0.994765579710.1%
 
1.09250187910.1%
 
1.09108996410.1%
 
-0.477848231810.1%
 
-1.32936036610.1%
 
-1.7076357610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75347924210.1%
 
-1.74600815810.1%
 
-1.74499809710.1%
 
-1.73568415610.1%
 
-1.72917115710.1%
 
-1.72811961210.1%
 
-1.72678935510.1%
 
-1.72643744910.1%
 
-1.72043085110.1%
 
-1.71967923610.1%
 
ValueCountFrequency (%) 
1.74717116410.1%
 
1.74162423610.1%
 
1.7397481210.1%
 
1.73973035810.1%
 
1.73344719410.1%
 
1.73299145710.1%
 
1.73087930710.1%
 
1.7308200610.1%
 
1.72963094710.1%
 
1.72890543910.1%
 

oz33
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-5.881302058696746e-10
Minimum-1.7015957832336426
Maximum1.7346404790878296
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:09.799198image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.701595783
5-th percentile-1.566911334
Q1-0.8480369896
median-0.009113533422
Q30.8704128414
95-th percentile1.532849181
Maximum1.734640479
Range3.436236262
Interquartile range (IQR)1.718449831

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1700303762
Kurtosis-1.201805624
Mean-5.881302059e-10
Median Absolute Deviation (MAD)0.8624462187
Skewness-0.00716557221
Sum-5.881302059e-07
Variance1.000000003
2020-08-25T00:31:09.910326image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.2890595210.1%
 
-1.17058515510.1%
 
-1.63084149410.1%
 
-0.477201908810.1%
 
0.235031828310.1%
 
1.00915694210.1%
 
-1.06173872910.1%
 
-0.209150895510.1%
 
-1.49742400610.1%
 
0.29228398210.1%
 
1.18101334610.1%
 
-1.15757298510.1%
 
-1.3294321310.1%
 
0.749571621410.1%
 
-0.326494783210.1%
 
-0.760410189610.1%
 
-1.12865614910.1%
 
-1.25324463810.1%
 
1.2733937510.1%
 
0.275709450210.1%
 
-0.815089464210.1%
 
0.684229552710.1%
 
0.00943268183610.1%
 
1.37552928910.1%
 
-1.58329474910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70159578310.1%
 
-1.69507014810.1%
 
-1.69218635610.1%
 
-1.68639051910.1%
 
-1.68595445210.1%
 
-1.68225765210.1%
 
-1.68000781510.1%
 
-1.67977392710.1%
 
-1.67892575310.1%
 
-1.67822277510.1%
 
ValueCountFrequency (%) 
1.73464047910.1%
 
1.73244357110.1%
 
1.73195517110.1%
 
1.72876834910.1%
 
1.72450375610.1%
 
1.71981406210.1%
 
1.69331884410.1%
 
1.69295489810.1%
 
1.6922761210.1%
 
1.69040799110.1%
 

oz20
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.753827281296253e-10
Minimum-1.7502707242965698
Maximum1.7605875730514526
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:10.029549image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.750270724
5-th percentile-1.591001904
Q1-0.8440180123
median-0.006464216625
Q30.8613513112
95-th percentile1.562948507
Maximum1.760587573
Range3.510858297
Interquartile range (IQR)1.705369323

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1737973618
Kurtosis-1.167917183
Mean5.753827281e-10
Median Absolute Deviation (MAD)0.8519039154
Skewness-0.006396411281
Sum5.753827281e-07
Variance1.000000003
2020-08-25T00:31:10.135438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.41796541210.1%
 
-0.211765840610.1%
 
-0.0234587490610.1%
 
0.130052566510.1%
 
-0.0850388333210.1%
 
-1.10165524510.1%
 
0.885440826410.1%
 
0.275728076710.1%
 
1.17712867310.1%
 
1.45605599910.1%
 
-1.62425875710.1%
 
0.297208577410.1%
 
0.199873566610.1%
 
0.18211372210.1%
 
0.559257566910.1%
 
0.901051342510.1%
 
-1.49345684110.1%
 
-0.863939702510.1%
 
1.02475225910.1%
 
0.904951274410.1%
 
0.881512463110.1%
 
-0.537761688210.1%
 
1.20833551910.1%
 
0.854164719610.1%
 
-0.125162050110.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75027072410.1%
 
-1.74953794510.1%
 
-1.74332714110.1%
 
-1.73583805610.1%
 
-1.73459553710.1%
 
-1.728184710.1%
 
-1.72488331810.1%
 
-1.72261965310.1%
 
-1.72017025910.1%
 
-1.71572375310.1%
 
ValueCountFrequency (%) 
1.76058757310.1%
 
1.75812780910.1%
 
1.75531649610.1%
 
1.75318789510.1%
 
1.75160980210.1%
 
1.74903738510.1%
 
1.74880754910.1%
 
1.73974764310.1%
 
1.73383438610.1%
 
1.73163676310.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1390075087547303e-09
Minimum-1.7581851482391355
Maximum1.8131228685379028
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:10.256424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758185148
5-th percentile-1.56407252
Q1-0.8403469771
median0.03826704435
Q30.812932834
95-th percentile1.630956286
Maximum1.813122869
Range3.571308017
Interquartile range (IQR)1.653279811

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-877957338.5
Kurtosis-1.101385686
Mean-1.139007509e-09
Median Absolute Deviation (MAD)0.8347916007
Skewness0.03136537722
Sum-1.139007509e-06
Variance1.000000002
2020-08-25T00:31:10.368161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.36328005810.1%
 
1.31120240710.1%
 
1.71228206210.1%
 
-1.70608305910.1%
 
0.0356863364610.1%
 
-0.207198277110.1%
 
-1.74351954510.1%
 
-0.526051461710.1%
 
-1.72788107410.1%
 
-0.365881711210.1%
 
-1.45053315210.1%
 
-1.23521721410.1%
 
0.832686245410.1%
 
-1.64583814110.1%
 
0.0962459519510.1%
 
-1.39582467110.1%
 
-0.578747510910.1%
 
-0.92904102810.1%
 
0.292314082410.1%
 
-0.598296642310.1%
 
-1.59893500810.1%
 
0.654933631410.1%
 
-1.01298904410.1%
 
0.803369402910.1%
 
1.28642392210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75818514810.1%
 
-1.75311744210.1%
 
-1.75172400510.1%
 
-1.75107955910.1%
 
-1.74991977210.1%
 
-1.74351954510.1%
 
-1.74309325210.1%
 
-1.74149954310.1%
 
-1.73806536210.1%
 
-1.72788107410.1%
 
ValueCountFrequency (%) 
1.81312286910.1%
 
1.80892133710.1%
 
1.8085998310.1%
 
1.80747413610.1%
 
1.80293345510.1%
 
1.80141687410.1%
 
1.80005347710.1%
 
1.79914045310.1%
 
1.79457104210.1%
 
1.79448914510.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.194474512279726e-10
Minimum-1.8301670551300049
Maximum4.583224296569824
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:10.486068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.830167055
5-th percentile-1.087688303
Q1-0.7120455354
median-0.3044541925
Q30.4968577251
95-th percentile2.089634132
Maximum4.583224297
Range6.413391352
Interquartile range (IQR)1.208903261

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)1220334506
Kurtosis1.738071918
Mean8.194474512e-10
Median Absolute Deviation (MAD)0.5212473795
Skewness1.308794687
Sum8.194474512e-07
Variance1.000000002
2020-08-25T00:31:10.602586image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.322262793810.1%
 
-0.692044854210.1%
 
-0.419278800510.1%
 
0.739693820510.1%
 
-0.420254081510.1%
 
0.179853126410.1%
 
-0.678394913710.1%
 
1.43881869310.1%
 
0.255907714410.1%
 
0.469077080510.1%
 
-0.705726802310.1%
 
-0.654941141610.1%
 
-0.522127032310.1%
 
-1.07293665410.1%
 
-0.929046928910.1%
 
4.58322429710.1%
 
-0.0467147268410.1%
 
-0.619776785410.1%
 
-0.0596100613510.1%
 
0.0112403677810.1%
 
-0.619773149510.1%
 
0.339182794110.1%
 
1.86844325110.1%
 
0.00513186026410.1%
 
-0.0247387159610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.83016705510.1%
 
-1.64618647110.1%
 
-1.5545171510.1%
 
-1.54736208910.1%
 
-1.48883521610.1%
 
-1.48855364310.1%
 
-1.44221925710.1%
 
-1.44079983210.1%
 
-1.42797756210.1%
 
-1.39588820910.1%
 
ValueCountFrequency (%) 
4.58322429710.1%
 
4.40386962910.1%
 
3.76526451110.1%
 
3.67949938810.1%
 
3.6296932710.1%
 
3.61603498510.1%
 
3.42531442610.1%
 
3.41213321710.1%
 
3.37379455610.1%
 
3.27436661710.1%
 

oz38
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.140295674024628e-10
Minimum-1.7168974876403809
Maximum1.7212061882019043
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:10.719392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.716897488
5-th percentile-1.542147106
Q1-0.8893615156
median0.02199494373
Q30.8466415554
95-th percentile1.539739031
Maximum1.721206188
Range3.438103676
Interquartile range (IQR)1.736003071

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-4672251664
Kurtosis-1.224325363
Mean-2.140295674e-10
Median Absolute Deviation (MAD)0.8682305515
Skewness-0.007192822496
Sum-2.140295674e-07
Variance1.000000005
2020-08-25T00:31:10.823513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.23239505310.1%
 
-1.49743115910.1%
 
-0.928426027310.1%
 
-0.749901771510.1%
 
-1.29306614410.1%
 
0.36362543710.1%
 
1.15231764310.1%
 
1.24746024610.1%
 
0.668100774310.1%
 
-0.695992529410.1%
 
-0.504583299210.1%
 
-1.53650534210.1%
 
1.141969810.1%
 
-0.323577910710.1%
 
0.673302888910.1%
 
1.0532296910.1%
 
0.0887691453110.1%
 
-0.956364452810.1%
 
1.00523555310.1%
 
-1.63413977610.1%
 
0.427088469310.1%
 
0.32591015110.1%
 
-0.640530347810.1%
 
-0.011964046410.1%
 
1.202781210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71689748810.1%
 
-1.71625506910.1%
 
-1.71390974510.1%
 
-1.70804929710.1%
 
-1.70308387310.1%
 
-1.70237827310.1%
 
-1.70094358910.1%
 
-1.69918739810.1%
 
-1.6979855310.1%
 
-1.69698083410.1%
 
ValueCountFrequency (%) 
1.72120618810.1%
 
1.71510064610.1%
 
1.71232795710.1%
 
1.70181965810.1%
 
1.69909131510.1%
 
1.69840264310.1%
 
1.69536900510.1%
 
1.69244480110.1%
 
1.69095635410.1%
 
1.68428170710.1%
 

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.309702828526497e-10
Minimum-1.7440341711044312
Maximum1.6798721551895142
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:10.946852image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.744034171
5-th percentile-1.576152885
Q1-0.8694860339
median0.02005495131
Q30.898915574
95-th percentile1.506293589
Maximum1.679872155
Range3.423906326
Interquartile range (IQR)1.768401608

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1883344575
Kurtosis-1.223047156
Mean5.309702829e-10
Median Absolute Deviation (MAD)0.8845777363
Skewness-0.06029117355
Sum5.309702829e-07
Variance1.000000004
2020-08-25T00:31:11.050663image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.89524179710.1%
 
0.984286844710.1%
 
-0.680063843710.1%
 
-0.184245243710.1%
 
-0.152506366410.1%
 
-0.793613731910.1%
 
0.819003999210.1%
 
0.351882696210.1%
 
0.699857950210.1%
 
-0.777981817710.1%
 
-0.522119402910.1%
 
-0.750632524510.1%
 
1.45438957210.1%
 
-0.364573180710.1%
 
0.699848473110.1%
 
0.447577714910.1%
 
-0.246730163710.1%
 
-1.42843937910.1%
 
-0.72132623210.1%
 
-1.35813224310.1%
 
1.60670578510.1%
 
0.947879791310.1%
 
-1.47388112510.1%
 
-0.932254135610.1%
 
-1.46215987210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74403417110.1%
 
-1.74226629710.1%
 
-1.73887884610.1%
 
-1.73318934410.1%
 
-1.73266172410.1%
 
-1.72791600210.1%
 
-1.72279071810.1%
 
-1.72278559210.1%
 
-1.71964275810.1%
 
-1.71710133610.1%
 
ValueCountFrequency (%) 
1.67987215510.1%
 
1.6772782810.1%
 
1.66854667710.1%
 
1.66820335410.1%
 
1.66810250310.1%
 
1.66809964210.1%
 
1.65900981410.1%
 
1.65547311310.1%
 
1.64849495910.1%
 
1.64644479810.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0028306864917625e-09
Minimum-1.703873872756958
Maximum1.720478653907776
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:11.166305image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.703873873
5-th percentile-1.525525731
Q1-0.8380801827
median-0.06542828307
Q30.898145929
95-th percentile1.574622512
Maximum1.720478654
Range3.424352527
Interquartile range (IQR)1.736226112

Descriptive statistics

Standard deviation0.9999999988
Coefficient of variation (CV)-997177302.5
Kurtosis-1.196851538
Mean-1.002830686e-09
Median Absolute Deviation (MAD)0.8780186474
Skewness0.0659858331
Sum-1.002830686e-06
Variance0.9999999976
2020-08-25T00:31:11.272490image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.23827981910.1%
 
0.170072704610.1%
 
-0.363943110.1%
 
1.10890018910.1%
 
0.198398590110.1%
 
-1.63406515110.1%
 
1.38167226310.1%
 
-0.838515102910.1%
 
-1.41920971910.1%
 
-1.69264495410.1%
 
-1.36105275210.1%
 
-0.643191099210.1%
 
-1.18872225310.1%
 
1.19919133210.1%
 
1.42308402110.1%
 
0.635365724610.1%
 
-0.0975841134810.1%
 
0.867360472710.1%
 
0.336236298110.1%
 
1.4660347710.1%
 
1.56369137810.1%
 
0.932998716810.1%
 
1.14962530110.1%
 
-0.583250641810.1%
 
-0.279977589810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.70387387310.1%
 
-1.70267772710.1%
 
-1.70255136510.1%
 
-1.69986510310.1%
 
-1.69951188610.1%
 
-1.69665741910.1%
 
-1.69264495410.1%
 
-1.6902755510.1%
 
-1.68987464910.1%
 
-1.67961335210.1%
 
ValueCountFrequency (%) 
1.72047865410.1%
 
1.71942281710.1%
 
1.71649777910.1%
 
1.7161599410.1%
 
1.71498107910.1%
 
1.71347224710.1%
 
1.71239507210.1%
 
1.70461010910.1%
 
1.69904673110.1%
 
1.69153404210.1%
 

oz7
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.383343134075403e-10
Minimum-1.6576908826828003
Maximum1.69575035572052
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:11.556028image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.657690883
5-th percentile-1.520864391
Q1-0.9080730081
median-0.03157644998
Q30.9133230448
95-th percentile1.533172095
Maximum1.695750356
Range3.353441238
Interquartile range (IQR)1.821396053

Descriptive statistics

Standard deviation0.9999999981
Coefficient of variation (CV)1566577226
Kurtosis-1.282907959
Mean6.383343134e-10
Median Absolute Deviation (MAD)0.9144184934
Skewness0.01482847712
Sum6.383343134e-07
Variance0.9999999961
2020-08-25T00:31:11.660595image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.666013479210.1%
 
0.655330836810.1%
 
-0.731139361910.1%
 
-1.47789835910.1%
 
-0.682307064510.1%
 
-1.60267615310.1%
 
-0.945971429310.1%
 
-0.561308145510.1%
 
-1.27083826110.1%
 
0.84971702110.1%
 
-1.27864515810.1%
 
1.47004938110.1%
 
1.23604345310.1%
 
1.51691842110.1%
 
0.799473345310.1%
 
1.22394180310.1%
 
0.409486055410.1%
 
0.721345663110.1%
 
-1.52081477610.1%
 
-1.04579973210.1%
 
1.12627518210.1%
 
-0.0918761715310.1%
 
-1.12626814810.1%
 
0.299144655510.1%
 
-0.5758409510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.65769088310.1%
 
-1.6471755510.1%
 
-1.64659571610.1%
 
-1.64547228810.1%
 
-1.64044082210.1%
 
-1.6383289110.1%
 
-1.63782274710.1%
 
-1.62822854510.1%
 
-1.62794685410.1%
 
-1.62777066210.1%
 
ValueCountFrequency (%) 
1.69575035610.1%
 
1.66994595510.1%
 
1.66911518610.1%
 
1.66820275810.1%
 
1.66230094410.1%
 
1.66227412210.1%
 
1.6614075910.1%
 
1.65301060710.1%
 
1.63924324510.1%
 
1.63591074910.1%
 

oz42
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.530884325504303e-10
Minimum-1.7261005640029907
Maximum1.7511740922927856
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:11.788771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.726100564
5-th percentile-1.576478076
Q1-0.8374539763
median-0.02338375617
Q30.8440868407
95-th percentile1.556312478
Maximum1.751174092
Range3.477274656
Interquartile range (IQR)1.681540817

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)2207074663
Kurtosis-1.185132592
Mean4.530884326e-10
Median Absolute Deviation (MAD)0.8416238325
Skewness-0.01228493058
Sum4.530884326e-07
Variance0.9999999992
2020-08-25T00:31:11.898664image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.0673824250710.1%
 
-1.64319205310.1%
 
1.34902644210.1%
 
0.522170007210.1%
 
0.221362993110.1%
 
1.44028508710.1%
 
-1.57676255710.1%
 
0.53193008910.1%
 
1.36854314810.1%
 
1.47010660210.1%
 
0.00315357418710.1%
 
-0.107825912510.1%
 
1.18884468110.1%
 
0.0112504893910.1%
 
-1.66931104710.1%
 
0.942073941210.1%
 
1.74346399310.1%
 
1.50132918410.1%
 
-0.108969561810.1%
 
1.52709054910.1%
 
1.4583488710.1%
 
1.08859765510.1%
 
0.570968091510.1%
 
0.727214753610.1%
 
0.723306655910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72610056410.1%
 
-1.72507524510.1%
 
-1.72424030310.1%
 
-1.70853865110.1%
 
-1.70801782610.1%
 
-1.70582568610.1%
 
-1.70414304710.1%
 
-1.70028567310.1%
 
-1.69584107410.1%
 
-1.69546365710.1%
 
ValueCountFrequency (%) 
1.75117409210.1%
 
1.74409151110.1%
 
1.74346399310.1%
 
1.73986744910.1%
 
1.7377173910.1%
 
1.73703813610.1%
 
1.7344820510.1%
 
1.72436702310.1%
 
1.7167538410.1%
 
1.71553397210.1%
 

oz47
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1117663234472275e-11
Minimum-1.7636840343475342
Maximum1.7002907991409302
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:12.019296image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.763684034
5-th percentile-1.607150787
Q1-0.8158795238
median-0.004968343535
Q30.8284519464
95-th percentile1.543390471
Maximum1.700290799
Range3.463974833
Interquartile range (IQR)1.64433147

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)8.994695913e+10
Kurtosis-1.129423842
Mean1.111766323e-11
Median Absolute Deviation (MAD)0.8249238729
Skewness-0.01833722878
Sum1.111766323e-08
Variance1.000000001
2020-08-25T00:31:12.128186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.44531059310.1%
 
1.45448005210.1%
 
-1.6339130410.1%
 
-0.242741078110.1%
 
-0.267911136210.1%
 
-0.756524801310.1%
 
0.668632388110.1%
 
0.298182904710.1%
 
0.163739040510.1%
 
0.445641845510.1%
 
-1.20053315210.1%
 
0.71354705110.1%
 
0.365559756810.1%
 
1.24981546410.1%
 
0.444660574210.1%
 
1.37239038910.1%
 
0.950551629110.1%
 
1.13409984110.1%
 
0.522126078610.1%
 
-1.31830930710.1%
 
-1.03252434710.1%
 
-1.21611964710.1%
 
-1.05381035810.1%
 
0.123370468610.1%
 
1.02470505210.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76368403410.1%
 
-1.76156520810.1%
 
-1.76119732910.1%
 
-1.75623154610.1%
 
-1.75564932810.1%
 
-1.75434052910.1%
 
-1.75407755410.1%
 
-1.75291740910.1%
 
-1.74924969710.1%
 
-1.74635505710.1%
 
ValueCountFrequency (%) 
1.70029079910.1%
 
1.69673943510.1%
 
1.69236624210.1%
 
1.68737971810.1%
 
1.68502521510.1%
 
1.68120610710.1%
 
1.6797975310.1%
 
1.66867530310.1%
 
1.66605722910.1%
 
1.66419947110.1%
 

oz48
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.050073817372322e-10
Minimum-1.762755274772644
Maximum1.7802900075912476
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:12.246606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.762755275
5-th percentile-1.5870745
Q1-0.8326623142
median-0.003345875128
Q30.8481863737
95-th percentile1.537867612
Maximum1.780290008
Range3.543045282
Interquartile range (IQR)1.680848688

Descriptive statistics

Standard deviation0.9999999993
Coefficient of variation (CV)-4877873132
Kurtosis-1.143640419
Mean-2.050073817e-10
Median Absolute Deviation (MAD)0.8356635291
Skewness-0.00908790626
Sum-2.050073817e-07
Variance0.9999999987
2020-08-25T00:31:12.348981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.855468511610.1%
 
0.617808818810.1%
 
0.175942793510.1%
 
-1.54034960310.1%
 
-0.307937890310.1%
 
1.52216184110.1%
 
0.476244419810.1%
 
-0.535791397110.1%
 
1.10081505810.1%
 
0.406564950910.1%
 
1.17704057710.1%
 
-1.68094444310.1%
 
-0.164707690510.1%
 
-1.15770173110.1%
 
-1.64968681310.1%
 
0.289097338910.1%
 
-1.01290416710.1%
 
0.130037397110.1%
 
-0.568977177110.1%
 
0.422345191210.1%
 
-0.18228197110.1%
 
-0.0127353882410.1%
 
1.23168706910.1%
 
-0.35870200410.1%
 
-1.42308604710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76275527510.1%
 
-1.7610373510.1%
 
-1.76033639910.1%
 
-1.75216984710.1%
 
-1.74957835710.1%
 
-1.74685287510.1%
 
-1.74368619910.1%
 
-1.73396015210.1%
 
-1.73212289810.1%
 
-1.72970700310.1%
 
ValueCountFrequency (%) 
1.78029000810.1%
 
1.77752554410.1%
 
1.7751003510.1%
 
1.76870524910.1%
 
1.76244521110.1%
 
1.75900852710.1%
 
1.75680315510.1%
 
1.75647735610.1%
 
1.75412404510.1%
 
1.74648845210.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.752766345627606e-10
Minimum-2.4431416988372803
Maximum4.3771562576293945
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:31:12.466020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.443141699
5-th percentile-1.853462857
Q1-0.6015271842
median0.1294938624
Q30.6668481827
95-th percentile1.369989473
Maximum4.377156258
Range6.820297956
Interquartile range (IQR)1.268375367

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-1025350105
Kurtosis0.3361925634
Mean-9.752766346e-10
Median Absolute Deviation (MAD)0.6099909395
Skewness-0.1649522251
Sum-9.752766346e-07
Variance0.9999999994
2020-08-25T00:31:12.569181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.086181372410.1%
 
-0.211606144910.1%
 
1.36974513510.1%
 
3.28424072310.1%
 
-1.85321676710.1%
 
-0.762465000210.1%
 
-0.786610841810.1%
 
0.62865763910.1%
 
0.117768183410.1%
 
1.26709771210.1%
 
-0.0022993229810.1%
 
0.851974308510.1%
 
-0.265261381910.1%
 
0.12142889210.1%
 
2.15133023310.1%
 
-1.70847344410.1%
 
0.990924656410.1%
 
-1.80221903310.1%
 
-0.0411825887910.1%
 
0.510482013210.1%
 
0.265006333610.1%
 
-2.13567304610.1%
 
-1.16549181910.1%
 
-0.57883554710.1%
 
0.0118519123610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.44314169910.1%
 
-2.3644888410.1%
 
-2.36029124310.1%
 
-2.32971787510.1%
 
-2.30571985210.1%
 
-2.30162739810.1%
 
-2.29063701610.1%
 
-2.25048780410.1%
 
-2.24578046810.1%
 
-2.24330520610.1%
 
ValueCountFrequency (%) 
4.37715625810.1%
 
3.87456226310.1%
 
3.30234694510.1%
 
3.28424072310.1%
 
2.82625389110.1%
 
2.68962883910.1%
 
2.57376456310.1%
 
2.52357459110.1%
 
2.46696591410.1%
 
2.44702291510.1%
 

Interactions

2020-08-25T00:29:58.848437image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.013392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.176090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.340641image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.660934image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.823126image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:29:59.982533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.149365image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.315307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.478453image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.641017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.805087image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:00.970962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.134245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.298275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.462129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.625659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.789741image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:01.952218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.114336image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.275114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.437902image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.597302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.758906image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:02.928123image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.091163image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.253632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.417866image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.583776image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.745045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:03.908839image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:04.071120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:04.232900image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:04.568782image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:04.728743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:04.892767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.057081image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.221646image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.385354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.547506image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.707610image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:05.876954image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.039669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.201078image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.365857image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.528247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.692315image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:06.855962image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.016978image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.182116image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.347887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.515344image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.672728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.837068image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:07.998186image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.158408image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.320821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.484571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.650405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.815392image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:08.980374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:09.138947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:09.477136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:09.637985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:09.797458image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:09.957908image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.118588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.280086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.446270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.617862image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.780698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:10.943841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:11.105769image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:11.266357image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:30:46.504113image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:46.674874image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:46.837569image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.004251image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.168312image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.333996image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.498657image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.662707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:47.831259image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.008434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.173424image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.336547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.498071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.661191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:48.990737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.155693image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.327455image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.489513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.661233image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.823848image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:49.985605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.152917image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.316330image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.482500image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.648757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.815672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:50.978501image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.144625image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.313659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.481947image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.648937image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.816629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:51.977224image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.141961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.303994image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.465478image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.629975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.792733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:52.958707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:53.122021image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:53.283808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:53.446507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:53.610001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:53.955639image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.121705image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.297836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.460821image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.624399image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.787108image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:54.949999image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:55.113290image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:55.276981image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:55.437914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:55.600582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:55.793383image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.005379image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.169156image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.341525image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.503147image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.665654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:56.863480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.026553image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.190559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.353651image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.516272image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.682257image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:57.847801image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:58.018757image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:58.182226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:58.347714image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:58.517096image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:58.679234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.008658image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.172385image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.335903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.498155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.669135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:30:59.839550image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.001100image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.163264image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.325737image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.488099image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.649778image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.811812image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:00.975110image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.141624image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.308633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.473669image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.636507image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.808674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:01.970282image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.132738image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.295655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.457354image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.620655image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.786724image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:02.950597image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:03.115332image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:03.283871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:03.444476image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:03.605526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:03.932729image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.103446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.265660image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.426743image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.594548image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.757216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:04.918331image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.079012image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.243671image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.406083image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.567242image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.726121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:05.893318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.053890image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.214952image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.378459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.538985image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.698887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:06.861948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:31:12.721442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:31:13.034425image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:31:13.352970image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:31:13.666605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:31:07.164589image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:31:07.631120image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
0-0.3390930.839926-0.551624-1.2104831.664996-0.0366891.095698-1.3683181.1431231.355284-1.1214610.7342291.3114680.2608650.0451351.1105120.6809080.0355360.647263-1.499390
10.9087691.2711521.1377830.4360811.566797-0.8749361.065918-1.073037-1.286135-1.0291861.722760-0.985489-1.285257-1.4984741.2407951.228225-0.4896111.511274-0.2688150.168033
21.4573950.069901-0.747560-0.359210-1.053981-0.8321781.4121840.0252640.4848250.069907-0.359897-0.272386-0.218395-1.261579-0.086229-1.1144600.3730650.460674-0.3718580.474456
31.1879171.029351-0.6958401.3912011.378292-0.4102100.6099020.367485-1.3440720.6225571.472955-0.5967571.080232-0.5488431.358603-1.3910850.279818-0.1785930.1366410.953816
40.386809-1.5587491.581941-1.590639-0.6313360.646641-1.1027691.2794611.3184201.461394-1.343906-0.5198641.6820190.366498-1.5418591.5141591.0101480.102051-0.7092260.003261
5-0.3384620.1240951.309380-0.140973-0.0412920.4777010.4327950.6214970.706835-0.341497-1.6066370.850118-1.5679910.951460-0.2904601.1113420.8996521.193537-1.1485911.036078
6-0.3502960.516675-0.3066050.6350050.4052821.288769-0.464142-0.3227090.215840-1.232705-1.325765-0.9097320.177959-0.410010-1.1043401.137642-0.358693-0.5053930.8924360.780403
70.914347-1.2502941.356704-1.1620590.623464-0.162186-0.3024160.546816-1.308736-1.527894-1.271698-0.9791771.4420281.072969-1.361053-1.138156-0.4989201.0949100.2135110.053294
8-0.9223080.698164-1.5551180.584486-0.554695-0.619745-0.8471880.615419-0.031971-0.8122440.832922-0.567961-0.3931800.678189-0.635010-1.3954860.5478381.5431360.2868180.765631
9-0.7592711.2784850.1544510.374599-0.9156171.213527-1.488034-1.4498861.3660200.121003-1.154575-1.1615170.7997330.192881-1.385432-0.606657-0.041554-0.5872541.7394120.169687

Last rows

oz14oz40oz31oz46oz18oz49oz27oz26oz33oz20oz13oz5oz38oz9oz4oz7oz42oz47oz48target
990-1.1144240.933726-1.326705-1.6550870.1969671.1277081.577080-0.419267-1.3742451.751610-1.457611-1.199927-0.638542-1.570397-1.4497131.445080-1.091081-1.755649-0.533293-0.655333
991-1.2039740.8876830.149674-1.3248661.430105-0.2357040.342299-0.909964-0.6586060.649346-1.067724-0.4202541.194528-0.5125771.361763-1.6191640.213847-1.2143621.0865670.205447
9920.002809-1.4151770.9656611.435892-0.414506-1.282454-0.817556-1.6552831.348073-0.0862710.924621-0.3456701.3018330.5243880.867360-0.3205781.0811060.0416110.7516050.596904
9930.333041-0.131994-0.800426-0.210998-0.879579-1.3978850.391064-0.9916250.5300241.7605880.513127-1.036147-0.532972-0.0304331.423942-0.050802-0.7273070.9038630.7213740.571583
9941.563021-0.008065-0.0469050.113015-0.714083-1.339600-1.296304-0.7625331.2380300.7595410.1033320.3716631.721206-0.1568050.6057571.5736671.2370800.395878-1.2807280.364313
995-0.4740331.2405181.3015150.5441570.4124810.2725311.697862-1.290332-0.0624630.041769-1.2290750.9876770.1018201.4086721.3162481.6068300.6920851.530956-1.170546-1.059365
9961.5029501.658731-0.186713-0.604377-0.129489-0.024232-1.491550-0.6281290.820688-0.645566-0.1382460.3121440.6462820.311863-0.459754-1.446507-0.5708201.107739-0.880406-1.952869
997-0.4936640.476297-1.1898160.122465-1.302036-1.4057400.869366-1.3672101.2060311.7055311.195962-0.7422720.591016-0.777982-0.973997-0.622490-0.5222110.4372050.965302-0.359258
998-1.105011-0.6530001.659482-1.273655-1.6518210.2308141.4797800.776861-1.4969190.4566331.2595440.793199-0.452154-0.4620961.5219091.5816621.1376931.526923-1.2651470.212947
9991.689642-1.1690871.026806-0.180284-0.9550171.1900960.528518-0.056688-0.843331-1.328877-0.602493-0.083676-0.8042881.517035-0.8379351.248563-1.248608-0.0525420.246218-1.853217